Cloud Solutions Architect

1 week ago

davangere, India beBeeDataEngineer Full time

Cloud Data Engineer Job DescriptionLemongrass is seeking an experienced Cloud Data Engineer to design, implement and maintain robust data pipelines and build scalable data lakes using cloud-native ETL tools and various data platforms. Key Responsibilities:Design and Development:Design, develop and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.).Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP).Develop and optimize data ingestion, transformation and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse.Implement ETL processes using tools like Informatica, SAP Data Intelligence and others.Develop and optimize data processing jobs using Spark Scala.Data Integration and Management:Integrate various data sources including relational databases, APIs, unstructured data and ERP systems into the data lake.Ensure data quality and integrity through rigorous testing and validation.Perform data extraction from SAP or ERP systems when necessary.Performance Optimization:Monitor and optimize the performance of data pipelines and ETL processes.Implement best practices for data management including data governance, security and compliance.Collaboration and Communication:Work closely with data scientists, analysts and other stakeholders to understand data requirements and deliver solutions.Collaborate with cross-functional teams to design and implement data solutions that meet business needs.Documentation and Maintenance:Document technical solutions processes and workflows.Maintain and troubleshoot existing ETL pipelines and data integrations.Bachelor's degree in Computer Science Information Technology or a related field. Advanced degrees are a plus.7+ years of experience as a Data Engineer or in a similar role. Proven experience with cloud platforms: AWS, Azure, and GCP. Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc. Experience with other ETL tools like Informatica, SAP Data Intelligence, etc. Experience in building and managing data lakes and data warehouses. Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse. Experience with data extraction from SAP or ERP systems is a plus. Strong experience with Spark and Scala for data processing.

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    davangere, India beBeeCloud Full time

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    davangere, India beBeeData Full time

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    davangere, India beBeeCloud Full time

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    davangere, India beBeeIdentity Full time

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